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19 Result(s)

within Fazhi **e Remove this filter Image Processing and Computer Vision Remove this filter

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  1. No Access

    Article

    MEAN: An attention-based approach for 3D mesh shape classification

    3D shape processing is a fundamental computer application. Specifically, 3D mesh could provide a natural and detailed way for object representation. However, due to its non-uniform and irregular data structure...

    Jicheng Dai, Rubin Fan, Yupeng Song, Qing Guo, Fazhi He in The Visual Computer (2024)

  2. No Access

    Article

    WalkFormer: 3D mesh analysis via transformer on random walk

    A 3D mesh is a popular representation of 3D shapes. For mesh analysis tasks, one typical method is to map 3D mesh data into 1D sequence data with random walk sampling. However, existing random walk-based appro...

    Qing Guo, Fazhi He, Bo Fan, Yupeng Song, Jicheng Dai… in Neural Computing and Applications (2024)

  3. No Access

    Chapter and Conference Paper

    CLF-Net: A Few-Shot Cross-Language Font Generation Method

    Designing a font library takes a lot of time and effort. Few-shot font generation aims to generate a new font library by referring to only a few character samples. Accordingly, it significantly reduces labor c...

    Qianqian **, Fazhi He, Wei Tang in MultiMedia Modeling (2024)

  4. No Access

    Article

    Hybrid feature constraint with clustering for unsupervised person re-identification

    Unsupervised person re-identification (Re-ID) has better scalability and usability in real-world deployments due to the lack of annotations, which is more challenging than supervised methods. State-of-the-art ...

    Tongzhen Si, Fazhi He, Penglei Li in The Visual Computer (2023)

  5. Article

    Open Access

    Normal vibration distribution search-based differential evolution algorithm for multimodal biomedical image registration

    In linear registration, a floating image is spatially aligned with a reference image after performing a series of linear metric transformations. Additionally, linear registration is mainly considered a preproc...

    Peng Gui, Fazhi He, Bingo Wing-Kuen Ling, Dengyi Zhang… in Neural Computing and Applications (2023)

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  6. No Access

    Article

    Attention deep residual networks for MR image analysis

    Prostate diseases often occur in men. For further clinical treatment and diagnosis, we need to do accurate segmentation on prostate. There are already many methods that concentrate on solving the problem of au...

    Mengqing Mei, Fazhi He, Shan Xue in Neural Computing and Applications (2023)

  7. No Access

    Article

    DRDDN: dense residual and dilated dehazing network

    Recently, deep convolutional neural networks (CNNs) have made great achievements in image restoration. However, there exists a large space to improve the performance of CNN-based dehazing model. In this paper,...

    Shengdong Zhang, Jiaoting Zhang, Fazhi He, Neng Hou in The Visual Computer (2023)

  8. No Access

    Article

    A novel privacy-preserving outsourcing computation scheme for Canny edge detection

    With the advancement of cloud computing technology, cloud servers are utilized to process large-scale data, especially multimedia data. However, concerns about leakage of private information prevent cloud comp...

    Bowen Li, Fazhi He, **antao Zeng in The Visual Computer (2022)

  9. No Access

    Chapter and Conference Paper

    MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis

    Recently, self-supervised pre-training has advanced Vision Transformers on various tasks w.r.t. different data modalities, e.g., image and 3D point cloud data. In this paper, we explore this learning paradigm for...

    Yaqian Liang, Shanshan Zhao, Baosheng Yu, **g Zhang… in Computer Vision – ECCV 2022 (2022)

  10. No Access

    Article

    A multi-phase blending method with incremental intensity for training detection networks

    Object detection is an important topic for visual data processing in the visual computing area. Although a number of approaches have been studied, it still remains a challenge. There is a suitable way to promo...

    Quan Quan, Fazhi He, Haoran Li in The Visual Computer (2021)

  11. Article

    Open Access

    Weight asynchronous update: Improving the diversity of filters in a deep convolutional network

    Deep convolutional networks have obtained remarkable achievements on various visual tasks due to their strong ability to learn a variety of features. A well-trained deep convolutional network can be compressed...

    Dejun Zhang, Linchao He, Mengting Luo, Zhanya Xu, Fazhi He in Computational Visual Media (2020)

    Download PDF (1463 KB)

  12. No Access

    Article

    DRCDN: learning deep residual convolutional dehazing networks

    Single image dehazing, which is the process of removing haze from a single input image, is an important task in computer vision. This task is extremely challenging because it is massively ill-posed. In this pa...

    Shengdong Zhang, Fazhi He in The Visual Computer (2020)

  13. No Access

    Article

    Photo-realistic dehazing via contextual generative adversarial networks

    Single image dehazing is a challenging task due to its ambiguous nature. In this paper we present a new model based on generative adversarial networks (GANs) for single image dehazing, called as dehazing GAN. ...

    Shengdong Zhang, Fazhi He, Wenqi Ren in Machine Vision and Applications (2020)

  14. No Access

    Article

    Part-based visual tracking with spatially regularized correlation filters

    Discriminative Correlation Filters (DCFs) have demonstrated excellent performance in visual object tracking. These methods utilize a periodic assumption of the training samples to efficiently learn a classifie...

    Dejun Zhang, Zhao Zhang, Lu Zou, Zhuyang **e, Fazhi He, Yiqi Wu… in The Visual Computer (2020)

  15. No Access

    Article

    Joint learning of image detail and transmission map for single image dehazing

    Single image haze removal is an important task in computer vision. However, haze removal is an extremely challenging problem due to its massively ill-posed, which is that at each pixel we must estimate the tra...

    Shengdong Zhang, Fazhi He, Wenqi Ren, Jian Yao in The Visual Computer (2020)

  16. No Access

    Chapter and Conference Paper

    Single Image Dehazing Using Deep Convolution Neural Networks

    Haze removal is urgently desired in multi-media system. A deep learning-based method, called dehazingCNN, is proposed to estimate an approximate clear image. The proposed learning model is different from tradi...

    Shengdong Zhang, Fazhi He, Jian Yao in Advances in Multimedia Information Process… (2018)

  17. No Access

    Chapter and Conference Paper

    Selective Image Matting with Scalable Variance and Model Rectification

    Bayesian Matting has four limitations. Firstly, Bayesian matting makes strong assumption that the texture distribution of nature image satisfies Gaussian distribution with fixed variance. This assumption will ...

    **ao Chen, Fazhi He, Yiteng Pan, Haojun Ai in Data Science (2017)

  18. No Access

    Chapter and Conference Paper

    A Fast and Secure Transmission Method Based on Optocoupler for Mobile Storage

    This paper presents a one-way data transmission method in order to ensure the safety of data transmission from mobile storage to secure PC. First, an optocoupler is used to achieve the one-way transmission of ...

    Lu Zou, Dejun Zhang, Fazhi He, Zhuyang **e in Data Science (2017)

  19. No Access

    Article

    Performance-based control interfaces using mixture of factor analyzers

    This paper introduces an approach to performance animation that employs a small number of inertial measurement sensors to create an easy-to-use system for an interactive control of a full-body human character....

    Huajun Liu, Fazhi He, **antao Cai, **ao Chen, Zhao Chen in The Visual Computer (2011)